Filtering unwanted checklists
Protocol used for filtering:
Removed Incomplete checklists Removed checklists Duration.Minutes less than 10m and more than 5hrs Removed Checklists Effort.Distance more than 10km
# Selecting wanted columns ## Protocol:
Keeping Locality ID, Sampling event identifier
# Selecting distinct rows ## Protocol Removing duplicates
baafiltered<- baa %>%
filter(ALL.SPECIES.REPORTED==1, EFFORT.DISTANCE.KM<10, DURATION.MINUTES<300, DURATION.MINUTES>10) %>%
select(baafiltered, SAMPLING.EVENT.IDENTIFIER, LOCALITY.ID)
Note: Using an external vector in selections is ambiguous.
[34mi[39m Use `all_of(baafiltered)` instead of `baafiltered` to silence this message.
[34mi[39m See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
[90mThis message is displayed once per session.[39m
Error: Must subset columns with a valid subscript vector.
[31mx[39m Subscript has the wrong type `data.frame<
GLOBAL.UNIQUE.IDENTIFIER : factor<57920>
LAST.EDITED.DATE : factor<0a167>
TAXONOMIC.ORDER : integer
CATEGORY : factor<84971>
COMMON.NAME : factor<69a6e>
SCIENTIFIC.NAME : factor<489da>
SUBSPECIES.COMMON.NAME : factor<b1327>
SUBSPECIES.SCIENTIFIC.NAME : factor<a5cbe>
OBSERVATION.COUNT : factor<0694a>
BREEDING.BIRD.ATLAS.CODE : factor<32f7b>
BREEDING.BIRD.ATLAS.CATEGORY: factor<adccb>
AGE.SEX : factor<4b59a>
COUNTRY : factor<117b9>
COUNTRY.CODE : factor<920e3>
STATE : factor<2434f>
STATE.CODE : factor<9c4ff>
COUNTY : factor<57db4>
COUNTY.CODE : factor<23362>
IBA.CODE : logical
BCR.CODE
Spacial Processing steps:
Read in fire shapefile
Map of shapefile
Convert ebird checklists to sf object with CRS code from fire shapefile
Make a map of the points using ggplot and geom_sf on the fire shapefile map
add column for inside/outside using st_join
make a map with points coloured by inside/outside
write out as rds to a directory called proceessed_data
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